Combined chemical and velocity sensors for fluid contamination analysis

ABSTRACT

Methods and systems for locating a chemical source include cross-correlating chemical concentration data from pairs of positions using a processor to determine an average velocity vector for a group of positions that averages away turbulence contributions. A convergence region is determined based on multiple average velocity vectors to determine a chemical source location.

BACKGROUND Technical Field

The present invention generally relates to fluid velocity measurementand, more particularly, to tracking and localizing contaminant sources.

Description of the Related Art

A difficulty in locating the source of, e.g., a drifting chemical vaporor fluid is the increase in downstream flow irregularity due toturbulence. This irregularity means that an instantaneous chemicalsensor will detect a time-varying concentration with both short-term andlong-term changes.

SUMMARY

A method for locating a chemical source includes cross-correlatingchemical concentration data from pairs of positions using a processor todetermine an average velocity vector for a group of positions thataverages away turbulence contributions. A convergence region isdetermined based on multiple average velocity vectors to determine achemical source location.

A combined chemical and velocity sensor system includes a sensor controlmodule comprising a processor configured to cross-correlate chemicalconcentration data from pairs of chemical concentration sensors and todetermine an average velocity vector that averages away turbulencecontributions to determine a chemical source location.

A chemical source location system includes multiple combined chemicaland velocity sensor (CCVS) systems. Each CCVS system has a sensorcontrol module comprising a processor configured to cross-correlatechemical concentration data from pairs of chemical concentration sensorsand to determine an average velocity vector that averages awayturbulence contributions. An analysis module comprising a processor isconfigured to determine a convergence region based on the plurality ofaverage velocity vectors to determine a chemical source location.

These and other features and advantages will become apparent from thefollowing detailed description of illustrative embodiments thereof,which is to be read in connection with the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

The following description will provide details of preferred embodimentswith reference to the following figures wherein:

FIG. 1 is a block diagram of a combined chemical and velocity sensor(CCVS) that measures a direction of chemical or contaminant flow inaccordance with an embodiment of the present invention;

FIG. 2 is a block diagram of multiple CCVS systems in an arrangementconfigured to localize a source of a chemical or contaminant inaccordance with an embodiment of the present invention;

FIG. 3 is a block/flow diagram of a method for localizing a source of achemical or contaminant in accordance with an embodiment of the presentinvention;

FIG. 4 is a block diagram of a sensor in accordance with an embodimentof the present invention;

FIG. 5 is a block diagram of a sensor control module that measures adirection of chemical or contaminant flow in accordance with anembodiment of the present invention;

FIG. 6 is a block diagram of an analysis system that localizes thesource of a chemical or contaminant in accordance with an embodiment ofthe present invention; and

FIG. 7 is a block diagram of a processing system in accordance with anembodiment of the present invention.

DETAILED DESCRIPTION

Embodiments of the present invention provide detection and localizationof, e.g., chemical leaks from complex structures such as pipeline padsand buildings. These embodiments provide simultaneous and co-locatedmeasurements of chemical concentrations in the air, plus the directionsand speeds of air currents. Detection of chemical leaks in a liquid,such as oil in water, make use of a similar combination of concentrationmeasurements and fluid measurements.

In particular, the present embodiments make measurements of bothchemical concentrations as well as local fluid directions and speeds atmultiple different points in a space. The chemical concentrationmeasurements are cross-correlated with one another to determine adirection of the chemical's flow. The combination of multiple suchconcentration/fluid sensors is referred to herein as a combined chemicaland velocity sensor (CCVS).

Referring now to the drawings in which like numerals represent the sameor similar elements and initially to FIG. 1, a CCVS 100 is shown. TheCCVS 100 includes sensors 102 and a control module 104. The sensors 102are each connected to the control module 104 and provide sensor data by,e.g., a wired or wireless connection. The control module 104 determinesa direction from which a flow of chemical or contaminant comes.

Each sensor 102 measures concentration of a chemical or contaminant. Thesensors 102 may measure these quantities in a gaseous environment or ina liquid environment. An instantaneous chemical fraction measured as afunction of time from each sensor 102 in each CCVS 100 may be stored ina time sequence of several seconds or minutes in length, depending onthe speed of the sensor 102 and the speed of the fluid past the sensor102. Shorter time sequence lengths may be appropriate for faster sensors102 and higher wind speeds. Trial time lags between two particularsensors 102 may be positive or negative, corresponding to a pattern ofcontaminant reaching one sensor 102 in the pair or the other first.

In one embodiment, a sensor 102 is positioned at the “origin” andadditional sensors 102 are positioned along each of three orthogonaldimension axes. It should be understood that this arrangement of sensorsis only one possible configuration. Any set of four or more sensors 102that are not coplanar can be used to provide a direction for anarbitrary point in three-dimensional space. Alternative configurationsinclude, e.g., a tetrahedral configuration where each sensor 102 isequidistant from each other sensor 102 in the CCVS 100. The presentembodiments are described with particular attention to CCVSconfigurations that include four sensors, but it should be understoodthat additional sensors can be used.

In a CCVS 100 having four sensors 102, there are six combinations ofsensor pairs that can be used for cross-correlation. Each pair has adifferent direction for the spatial vector connecting the sensors 102and will, in general, have a different time lag between the measurementof fluid elements. If the four sensors 102 are at points r_(i), wherei=(1,4), and if the lag between point i and point j is expressed asτ_(ij), then the average flow velocity at the average sensor positionfor three orthogonal directions is expressed as:

$V_{x} = {\frac{1}{6}{\sum\limits_{i,j}\frac{\left( {r_{i} - r_{j}} \right)_{x}}{\tau_{ij}}}}$$V_{y} = {\frac{1}{6}{\sum\limits_{i,j}\frac{\left( {r_{i} - r_{j}} \right)_{y}}{\tau_{ij}}}}$$V_{z} = {\frac{1}{6}{\sum\limits_{i,j}\frac{\left( {r_{i} - r_{j}} \right)_{z}}{\tau_{ij}}}}$

where τ_(ij) is a time lag between points i and j and where (.)_(x)designates the x-directional component of the positional vector betweenpoints i and j, with (.)_(y) and (.)_(z) being analogous for the y- andz-directional components. The quantities on the right-hand sides ofthese equations are summations over all pairs of sensors 102 positionedat r_(i) and r_(j). The factor of ⅙ takes the average velocity in thecase of four sensors 102 (corresponding to six distinct pairs of sensors102). In general, the number of pairs between an arbitrary number N ofsensors 102 is the number of combinations of N taken two at a time,which is expressed as N!/(2!(N−2)!).

In general the Fourier transform power spectrum of the time variation offluid motion between sensors 102 is a power-law with a fixed slope,reflecting Komogorov scaling of subsonic turbulence. Associated withthis time signal is a spatial distribution of the chemical contaminant,which is also multi-scale with the swirling pattern of incompressibleturbulence. In such a flow, the measurement of concentration from asingle sensor 102 varies with time as the peaks and valleys of thespatial distribution pass by. Both the spatial irregularity at any onetime and the temporal irregularity at any one place are unpredictable indetail, but their statistical properties can be averaged over largeregions and times and vary only slowly.

The time-dependent signal of the chemical contaminant at any one sensor102 can be combined with the time-dependent signal of the contaminant atany other sensor 102 using cross-correlation to determine the mostlikely time lag for the drift of a spatial irregularity pattern from onesensor 102 to the other. This time lag, combined with the known spatialvector pointing from one sensor 102 to another, gives the average flowspeed in that direction. For several pairs of sensors 102 and theirpairwise cross-correlations and resulting lags, all three components ofthe average fluid velocity can be determined at the position given bythe average position of the sensors 102. The average fluid velocity isthe velocity averaged over the volume enclosed by the sensors 102 of theCCVS 100 over the time interval used for cross-correlation.

As an example, if the time-dependent signal at a first sensor 102 isdesignated S₁(t) and the time-dependent signal at a second sensor 102 isdesignated as S₂(t), then the time lag τ₁₂ is determined, such that thecross-correlation product between two time limits, t_(a), and t_(b), ismaximized. The cross-correlation product is defined herein as:

C _(t) _(a) _(,t) _(b) (τ)=∫_(t) _(a) ^(t) ^(b) S ₁(t)S ₂(t−τ)dt

Thus the time sequences from each pair of sensors 102 in each CCVS 100are multiplied together with a time lag of successively increasinglengths. These sequences should be synchronized, so that a pattern ofchemical concentration has a chance of being contained in each sequence.The value of r that maximizes the integral, defined as τ_(ij), can befound by trial and error with different values of τ using a numericalintegration based on recent values of S₁ and S₂ as measured betweent_(a), and t_(b). If one or more sensors 102 does not detect anycontamination during the integrated time interval, then the lags for thecorresponding pairs are undefined and that time interval is ignored forthose sensors 102. The time lag between each pair of sensors 102 whichgives the largest cross-correlation product for that pair of sensors 102should be saved in a memory.

The known positional differences between pairs of sensors 102 in eachCCVS 100 is divided by the corresponding optimal time lag for that pair.The averages of these ratios for all i and j in each vector componentgives the average vector velocity in the chosen time interval. If aparticular sensor 102 includes no signal of the chemical or contaminantin that time interval, then the average may still be possible from theother sensors 102 and a velocity may be determined. However, if adetection is made in only one or two of the sensors, then no detectionof velocity is possible and that time interval may be removed fromfurther analysis.

Smaller CCSVs 100 will produce more localized measurements of the fluidvelocity. The sensors 102 should be capable of measuring fluctuationswith a temporal resolution equal to half of the timescale at which atypically fast burst of fluid travels over the shortest distance ofseparation between two sensors 102. Alternatively, given the responsetime of a sensor to changes in the concentration of contaminants, theCCSV 100 should be larger than, or equal to, the distance that the fluidcan travel in a time equal to twice the detector response time, allowinga margin that provides for fluid velocity excursions that are on thehigh end of a speed distribution. In both cases a factor of two providesoptimum sampling at the Nyquist frequency.

The control module 104 thus performs the real-time cross-correlationsdescribed above, multiplying together the signals from each pair ofsensors 102 with a time lag between each pair that maximizes thecross-correlation product. When dividing time lags into the spatialvector separating two sensors 102 the result is a measurement of fluidvelocity averaged over the space occupied by the sensors 102 andaveraged over the time window of the cross-correlation product.

In some embodiments, the CCVS 100 may be part of a permanent or fixedinstallation, where the CCVS 100 is stationary with respect to thechemical or contaminant source. In other embodiments, the CCVS 100 maybe in motion with respect to the chemical or contaminant source, forexample implemented on a mobile platform, truck, or drone aircraft. Thedifference between the velocity detected by the CCVS 100 and theground-based velocity represents the measured fluid velocity.

Referring now to FIG. 2, an arrangement of multiple CCVSs 100 is used todetermine the source 202 of a chemical or contaminant. A property ofturbulent flow predicts that the long-term average of the fluidvelocities measured by the sensors 102 in a given CCVS 100 correspondsto the fluid velocity averaged over a large spatial scale around theCCVS 100. Thus, the long-time average direction of the fluid measured ata single CCVS 100 points back to the source of the chemical orcontamination, within some margin of error that decreases as theaveraging time increases. The CCVSs 100 provide their measurements ofthe time-averaged vectors of fluid movement to an analysis system 204.

Each CCVS 100 thus points to the source 202 of contamination, whichmeans that a combination of four CCVSs 100 can point to a single uniqueposition in three-dimensional space. Two CCVSs 100 are enough to givethe three-dimensional position of the source 202 if the direction to thesource 202 is not co-aligned with the vector connecting the two CCVSs100. Three CCVSs 100 are sufficient to detect the source 202 if theposition is not co-aligned with the plane of the three CCVSs 100. Fournon-coplanar CCVSs 100 are sufficient to detect the source 202 in thegeneral case, with any orientation of the four CCVSs 100 being suitableto detect the source 202.

FIG. 2 thus represents one specific configuration of CCVSs 100 to detecta source 202 that is located within a perimeter established by the CCVSs100. The present embodiments are also able to locate the source 202 ifthe source 202 is positioned outside such a perimeter. If the vectorsfrom all of the CCVSs 100 point back to a large volume of space or toseveral small volumes instead of a single, small volume, then it can beconcluded that the source 202 covers a wide region or there is more thanone source 202.

The CCVSs 100 should be positioned close enough to the source 202 togive a reasonable expectation that the sensors 102 inside each CCVS 100will detect the leak at least some of the time. If the area in which thesource 202 may be located is large, then many CCVSs 100 should be placedin that area, with at least some of the CCVSs 100 outside of thesuspected area, to provide sufficient directional accuracy in the finalposition determination.

In general the wind direction and speed will change from hour to hourand day to day, so the detection of chemicals or contaminants by aparticular CCVS 100 will be intermittent. Each velocity vector detectionshould be saved and averaged together for a long time (e.g., over daysor weeks) to give the average velocity when a contaminant is detected bythat CCVS 100. The vector in the direction opposite to the long-termaverage velocity points to the source 202. With multiple CCVSs 100 andtheir respective long-term average velocities, the three-dimensionalposition of the source 202 will be in the vicinity of the intersectionpoint of all of the directions, measured as being opposite to thelong-term average CCVS velocities.

Referring now to FIG. 3, a method of locating a chemical or contaminantsource 202 is shown. Block 302 measures a time sequence of chemicalconcentration and fluid velocity at each sensor 102 in each CCVS 100.Block 304 cross-correlates each pair of sensors 102 in each CCVS 100 andblock 306 uses these cross-correlation values to determine a time lagfor each CCVS 100 that produces a largest cross-correlation value.

Block 308 determines the average velocity vector at each CCVS 100 forthe chemical or contaminant. This average velocity vector is drawn fromeach of the pairs of sensors 102 within the CCVS 100. Block 310 thenaverages the output of block 308 with previous average velocity vectors,producing a time-averaged velocity vector for each CCVS 100. Block 312reverses each time-averaged velocity vector and finds a point or regionof convergence, thereby identifying the source 202.

It should be noted that blocks 302-310 may be repeated until aconvergence criterion is met. In some embodiments, the convergencecriterion may include a distance between crossing points of the reversedtime-averaged velocity vectors, which characterizes whether a distinctsource 202 has been identified. In some embodiments, the convergencecriterion may include a threshold of change, where successive averagevelocity vectors provide progressively less variation to theaverage—when new average velocity vectors change the average by anamount less than the threshold, the convergence point can be determined.It should be understood that these convergence criteria are not intendedto be limiting, and that any appropriate convergence criterion orcriteria may be used instead.

The present invention may be a system, a method, and/or a computerprogram product at any possible technical detail level of integration.The computer program product may include a computer readable storagemedium (or media) having computer readable program instructions thereonfor causing a processor to carry out aspects of the present invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as SMALLTALK, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the blocks may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

Reference in the specification to “one embodiment” or “an embodiment” ofthe present invention, as well as other variations thereof, means that aparticular feature, structure, characteristic, and so forth described inconnection with the embodiment is included in at least one embodiment ofthe present invention. Thus, the appearances of the phrase “in oneembodiment” or “in an embodiment”, as well any other variations,appearing in various places throughout the specification are notnecessarily all referring to the same embodiment.

It is to be appreciated that the use of any of the following “/”,“and/or”, and “at least one of”, for example, in the cases of “A/B”, “Aand/or B” and “at least one of A and B”, is intended to encompass theselection of the first listed option (A) only, or the selection of thesecond listed option (B) only, or the selection of both options (A andB). As a further example, in the cases of “A, B, and/or C” and “at leastone of A, B, and C”, such phrasing is intended to encompass theselection of the first listed option (A) only, or the selection of thesecond listed option (B) only, or the selection of the third listedoption (C) only, or the selection of the first and the second listedoptions (A and B) only, or the selection of the first and third listedoptions (A and C) only, or the selection of the second and third listedoptions (B and C) only, or the selection of all three options (A and Band C). This may be extended, as readily apparent by one of ordinaryskill in this and related arts, for as many items listed.

Referring now to FIG. 4, additional detail on the sensors 102 isprovided. Each sensor 102 includes a hardware processor 402 and a memory404. A communications interface 406 provides communications to thecontrol module 104 and optionally to the other sensors 102 via wiredand/or wireless connections using any appropriate communicationsprotocol.

The sensor 102 includes a chemical sensor 408. The chemical sensor 408makes measurements of a concentration of one or more chemicals orcontaminants. The communications interface 406 may communicate sensormeasurements to the sensor control module 104 in real-time or may,alternatively, transmit measurements that have been taken by the sensor408 at a previous date and stored in memory 404. The measurements may bemade by any appropriate mechanism, including but not limited to aspectroscope, a chromatograph, an electrochemical cell, a pH sensor,etc.

Referring now to FIG. 5, additional detail on the sensor control module104 is shown. The sensor control module 104 includes a hardwareprocessor 502, a memory 504, and a communications interface 506. Thecommunications interface 506 provides communications between the sensorcontrol module 104 and the sensors 102, collecting measurements from thesensors 102 for storage in memory 504. The communications interface 506furthermore provides communications between sensor control modules 104in respective CCVSs 100 as well as providing communications to a centralanalysis system 204. The sensor control module 104 includes one or morefunctional modules that may, in some embodiments, be implemented assoftware that is stored in memory 504 and executed by processor 502. Inalternative embodiments, the functional modules may be implemented asone or more discrete hardware components in the form of, e.g.,application-specific integrated chips or field programmable gate arrays.

A cross-correlation module 508 cross-correlates the time sequencedmeasurements of each pair of sensors 102 in the CCVS 100 to identify atime lag that maximizes the cross-correlation value. Velocity vectormodule 510 then generates an average velocity vector as described abovebased on the sensor measurements. The velocity vector module 510 mayfurthermore average the new average velocity vector with previouslymeasured average velocity vectors stored in memory 504.

Referring now to FIG. 6, additional detail on the analysis system 204 isshown. The analysis system 204 includes a hardware processor 602 andmemory 604, as well as a communications interface 606 that is configuredto communicate with the sensor control modules 104 of the respectiveCCVSs 100. The communications interface 606 may communicate with thesensor control modules 104 by any appropriate wired or wirelessconnection using any appropriate protocol. The analysis system 204further includes one or more functional modules that may, in someembodiments, be implemented as software that is stored in memory 604 andexecuted by processor 602. In alternative embodiments, the functionalmodules may be implemented as one or more discrete hardware componentsin the form of, e.g., application-specific integrated chips or fieldprogrammable gate arrays.

In particular, the analysis system 204 includes a source location module608 that takes average velocity vector information from the respectivesensor control modules 104 and reverse the various average velocityvectors to find a point of convergence. The source location module 608therefore maintains in memory 604 the physical location of each CCVS 100to provide physical coordinates and a degree of uncertainty for thesource 202.

The analysis system 204 may be a separate component in the system,independently communicating with each of the CCVSs 100 as shown in FIG.2. In other embodiments, however, the analysis system 204 may beintegrated with one or more of the CCVSs 100.

Referring now to FIG. 7, an exemplary processing system 700 is shownwhich may represent the analysis system 204. The processing system 700includes at least one processor (CPU) 704 operatively coupled to othercomponents via a system bus 702. A cache 706, a Read Only Memory (ROM)708, a Random Access Memory (RAM) 710, an input/output (I/O) adapter720, a sound adapter 730, a network adapter 740, a user interfaceadapter 750, and a display adapter 760, are operatively coupled to thesystem bus 702.

A first storage device 722 and a second storage device 724 areoperatively coupled to system bus 702 by the I/O adapter 720. Thestorage devices 722 and 724 can be any of a disk storage device (e.g., amagnetic or optical disk storage device), a solid state magnetic device,and so forth. The storage devices 722 and 724 can be the same type ofstorage device or different types of storage devices.

A speaker 732 is operatively coupled to system bus 702 by the soundadapter 730. A transceiver 742 is operatively coupled to system bus 702by network adapter 740. A display device 762 is operatively coupled tosystem bus 702 by display adapter 760.

A first user input device 752, a second user input device 754, and athird user input device 756 are operatively coupled to system bus 702 byuser interface adapter 750. The user input devices 752, 754, and 756 canbe any of a keyboard, a mouse, a keypad, an image capture device, amotion sensing device, a microphone, a device incorporating thefunctionality of at least two of the preceding devices, and so forth. Ofcourse, other types of input devices can also be used, while maintainingthe spirit of the present principles. The user input devices 752, 754,and 756 can be the same type of user input device or different types ofuser input devices. The user input devices 752, 754, and 756 are used toinput and output information to and from system 700.

Of course, the processing system 700 may also include other elements(not shown), as readily contemplated by one of skill in the art, as wellas omit certain elements. For example, various other input devicesand/or output devices can be included in processing system 700,depending upon the particular implementation of the same, as readilyunderstood by one of ordinary skill in the art. For example, varioustypes of wireless and/or wired input and/or output devices can be used.Moreover, additional processors, controllers, memories, and so forth, invarious configurations can also be utilized as readily appreciated byone of ordinary skill in the art. These and other variations of theprocessing system 700 are readily contemplated by one of ordinary skillin the art given the teachings of the present principles providedherein.

Having described preferred embodiments of a system and method (which areintended to be illustrative and not limiting), it is noted thatmodifications and variations can be made by persons skilled in the artin light of the above teachings. It is therefore to be understood thatchanges may be made in the particular embodiments disclosed which arewithin the scope of the invention as outlined by the appended claims.Having thus described aspects of the invention, with the details andparticularity required by the patent laws, what is claimed and desiredprotected by Letters Patent is set forth in the appended claims.

What is claimed is:
 1. A computer-implemented method for locating achemical source, comprising: cross-correlating chemical concentrationdata from pairs of positions using a processor to determine an averagevelocity vector for a group of positions that averages away turbulencecontributions; and determining a convergence region based on a pluralityof average velocity vectors to determine a chemical source location. 2.The method of claim 1, wherein determining the convergence regioncomprises reversing a direction of each of average velocity vector. 3.The method of claim 1, wherein cross-correlating chemical concentrationdata comprises integrating over a product of concentration valuesmeasured at a pair of positions at times separated by a time lag toproduce a cross-correlation product C.
 4. The method of claim 3, whereincross-correlating chemical concentration data further comprisesdetermining a time lag that produces a maximum cross-correlationproduct.
 5. The method of claim 4, wherein the cross-correlation productis calculated as:C _(t) _(a) _(,t) _(b) (τ)=∫_(t) _(a) ^(t) ^(b) S ₁(t)S ₂(t−τ)dt wheret_(a) and t_(b) are time limits, S₁(t) and S₂(t) are measurements from afirst sensor and a second sensor at a time t, and τ is a time lag. 6.The method of claim 4, further comprising determining the averagevelocity vector based on a normalized sum of distances between each pairof positions divided by a respective determined time lag for each pairof positions.
 7. The method of claim 1, wherein each group of positionscomprises at least four chemical concentration sensors at respectivepositions.
 8. The method of claim 7, wherein cross-correlating chemicalconcentration data from pairs of positions comprises determiningrespective average velocity vectors for a plurality of groups ofpositions.
 9. A combined chemical and velocity sensor system,comprising: a sensor control module comprising a processor configured tocross-correlate chemical concentration data from pairs of chemicalconcentration sensors and to determine an average velocity vector thataverages away turbulence contributions to determine a chemical sourcelocation.
 10. The system of claim 9, wherein the sensor control moduleis further configured to integrate over a product of concentrationvalues measured at a pair of positions at times separated by a time lagto produce a cross-correlation product C.
 11. The system of claim 10,wherein the sensor control module is further configured to determine atime lag that produces a maximum cross-correlation product.
 12. Thesystem of claim 11, wherein the cross-correlation product is calculatedas:C _(t) _(a) _(,t) _(b) (τ)=∫_(t) _(a) ^(t) ^(b) S ₁(t)S ₂(t−τ)dt wheret_(a) and t_(b) are time limits, S₁(t) and S₂(t) are measurements from afirst sensor and a second sensor at a time t, and τ is a time lag. 13.The system of claim 11, wherein the sensor control module is furtherconfigured to determine the average velocity vector based on anormalized sum of distances between each pair of positions divided by arespective determined time lag for each pair of positions.
 14. Thesystem of claim 9, wherein the chemical concentration sensors compriseat least four chemical concentration sensors.
 15. The system of claim14, wherein the chemical concentration sensors are non-coplanar.
 16. Achemical source location system, comprising: a plurality of chemical andvelocity sensor (CCVS) systems, each CCVS system comprising: a sensorcontrol module comprising a processor configured to cross-correlatechemical concentration data from pairs of chemical concentration sensorsand to determine an average velocity vector that averages awayturbulence contributions; and an analysis module comprising a processorconfigured to determine a convergence region based on the plurality ofaverage velocity vectors to determine a chemical source location. 17.The system of claim 16, wherein the analysis module is furtherconfigured to reverse the direction of each average velocity vector todetermine the convergence region.
 18. The system of claim 16, whereineach CCVS system further comprises at least four chemical concentrationsensors.
 19. The system of claim 18, wherein the at least four chemicalconcentration sensors of each CCVS system are non-coplanar.
 20. Thesystem of claim 16, comprising at least four non-coplanar CCVS systems.